article · Certification difficulty & pass rates

AZ-104 Pass Rate: What Microsoft Publishes

The AZ-104 pages RoleMath reviewed publish skills and scaled-score rules, not a candidate pass rate. Use official facts, role evidence, and readiness checks.

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Certification details change. Always confirm final pricing, availability, and credential terms on the official provider page linked in the sources below before you pay for anything.

Last updated 2026-07-21 — the article text's own revision date; dated evidence on this page carries its own check date. See the Citation Ledger at the foot for this page's sources.

The official AZ-104 pages RoleMath reviewed publish no candidate pass rate. No official source reviewed for this page contains a candidate pass-rate percentage. What Microsoft does publish on those pages: the current study guide with skills measured as of April 17, 2026, the Azure Administrator candidate profile, a 100-minute assessment, domain weights, renewal and fee posture, and a 700-of-1000 scaled-score standard that is not the same as 70 percent. Any page handing you a specific percentage without naming its source, candidate population, denominator, exam version, and time period is skipping the evidence question. Use the official facts, role evidence, and a hands-on readiness plan instead.

Key takeaways

  • The official AZ-104 pages RoleMath reviewed publish no candidate pass rate — only exam scope and a 700-or-greater scaled passing score. Treat a circulating percentage as unsupported unless it names its source, candidate population, denominator, exam version, attempt handling, geography, and time period.
  • A 700 scaled score does not mean exactly 70 percent correct and may not correspond to a simple percent-correct result, and a passing score is not a pass rate: one is the bar a candidate clears, the other is the share of candidates who clear it.
  • The source-backed planning facts: skills measured as of April 17, 2026, Intermediate Azure Administrator positioning, 100-minute assessment, one 165 USD United States exam fee (Microsoft's published exam-pricing data, captured 2026-06-19), and no prerequisite stated on the official page, which does not mention AZ-900.
  • The study map is the official domain weights: identities/governance 20-25%, storage 15-20%, compute 20-25%, virtual networking 15-20%, monitoring/maintenance 10-15%.
  • Employer-language samples and AI-usage data are context — a dated qualitative sample and descriptive workflow data — not demand, salary, ROI, or job-loss evidence.

More on Microsoft Azure Administrator Associate

The straight answer: the reviewed Microsoft pages publish no AZ-104 pass rate

The official AZ-104 pages RoleMath reviewed publish no candidate pass rate. Those pages publish a scaled-score standard — technical exams are scored on a 1 to 1000 scale, 700 or greater passes, the scaled score may not equal 70 percent, some questions may be unscored, and there is no penalty for guessing — but no official source reviewed for this page publishes the share of candidates who pass. Our published sources records that absence: the Microsoft Learn study guide and the Azure Administrator credential page were live checked on 2026-07-05, and neither contains a candidate pass-rate percentage.

A pass-rate figure that arrives without a methodology — who measured, over what candidate population and denominator, which exam version, what time window, first attempts or retakes — is skipping the evidence question. Any pass-rate figure that lacks those methodological details should be treated as unsupported rather than as a measured rate. And keep the definitions straight — a passing score is the bar one candidate must clear; a pass rate is the share of candidates who clear it. Turning Microsoft's score standard into a pass rate is a source error, not a shortcut.

What Microsoft actually publishes (use this instead)

The Microsoft Learn pages were live checked on 2026-07-05, and the official record is strong enough to plan from. The study guide lists skills measured as of April 17, 2026.

AZ-104 factWhat we verifiedPlanning use
CredentialMicrosoft Certified: Azure Administrator AssociateConfirms the role-based Azure administration credential.
Level/product/roleIntermediate, Azure, AdministratorRecords the official Intermediate Azure Administrator positioning.
Skills dateSkills measured as of April 17, 2026Prevents stale-outline study plans.
Assessment duration100 minutes on the credential pagePacing context, not a pass-rate estimate.
Passing score700 or greater scaled scoreA score standard, not the share of candidates who pass.
Renewal12-month renewal frequencyMaintenance context for the credential decision.
Cost165 USD — the United States price in Microsoft's published exam-pricing data, captured 2026-06-19Budget context, not ROI. Microsoft prices by proctoring country or region; confirm yours before purchase.
EligibilityNo prerequisite stated; the official page does not mention AZ-900Access context, not a readiness guarantee.

Use the domain weights as the study map: Manage Azure identities and governance 20-25 percent, Implement and manage storage 15-20 percent, Deploy and manage Azure compute resources 20-25 percent, Implement and manage virtual networking 15-20 percent, and Monitor and maintain Azure resources 10-15 percent. Those five weighted domains — identity and governance, storage, compute, virtual networking, and monitoring and maintenance — are what the exam is built around. If your study plan is mostly flashcards, the domain map is telling you to add labs. This is enough evidence for a serious plan; it is not enough to publish a pass-rate percentage, salary claim, ROI claim, or job guarantee.

Why circulating pass-rate numbers are weak evidence

A usable pass-rate source would name who collected the data, the denominator, first attempts versus retakes, the exam version, geography, and time period. The Microsoft sources RoleMath reviewed for this page do not publish a candidate pass rate at all, so any percentage you find circulating elsewhere is coming from somewhere other than that reviewed record — and if it does not carry those methodological details, treat it as unsupported rather than as a measured rate. RoleMath does not quote those percentages because repeating a number without its methodology makes it look stronger than the evidence allows.

What the exam signals matters more than what a rumor claims. Microsoft describes the AZ-104 candidate as having subject-matter expertise implementing, managing, and monitoring an organization's Azure environment, including virtual networks, storage, compute, identity, security, and governance. Before choosing AZ-104, compare your own skills against that official candidate profile: Microsoft's Azure Administrator page does not state a prerequisite and does not mention AZ-900, but the absence of a stated prerequisite is not the same thing as beginner readiness.

The better substitute is role evidence. RoleMath maps Cloud Support Associate to Computer User Support Specialists, where O*NET task context covers diagnostics, answering user questions, setting up equipment, and maintaining support records; Cloud Engineer to Computer Systems Engineers/Architects, covering system requirements, secure implementations, monitoring, and verifying stability, interoperability, security, and scalability; and Network Administrator to Network and Computer Systems Administrators, covering network maintenance, backups and recovery, diagnosis, and security. Those task families tell you what evidence to build — access control, storage configuration, VM deployment, virtual-network troubleshooting, monitoring queries, backup/restore practice, and clear documentation — which is exactly what a pass-rate number cannot.

Occupation pay and outlook context (not an AZ-104 outcome)

BLS data is occupation context, not certification-outcome evidence. RoleMath's current analyses use May 2025 national OEWS figures: Computer User Support Specialists at 717,190 employment and a 61,860 USD median annual wage, Computer Systems Engineers/Architects at 435,370 employment and 116,580 USD, and Network and Computer Systems Administrators at 314,340 employment and 99,130 USD. BLS Employment Projections for 2024-2034 show Computer User Support Specialists at -3.7 percent projected employment change with 40.8 thousand annual openings, Computer occupations, all other at 8.2 percent with 31.3 thousand, and Network and Computer Systems Administrators at -4.2 percent with 14.3 thousand. None of this means AZ-104 pays those wages, creates those openings, or predicts a personal outcome — it means the credential decision should be tied to a role target with measurable labor context, not a rumor about exam pass rates.

What employers ask for, and how AI shifts the work

RoleMath's employer-language pilot is a dated qualitative sample of public ATS postings, not representative demand. Across the mapped roles — cloud engineer, network administrator, and cloud support — the postings in the sample recur on Azure alongside adjacent networking, Linux, and infrastructure-as-code vocabulary. Read it as vocabulary and lab direction, not as market size, demand share, salary, placement, or ROI; the sample tracks role-lane postings and does not record where the AZ-104 code itself appears. On the AI side, RoleMath cites Anthropic's 2026 Economic Index, which describes how AI is being used around each mapped occupation: for the Computer User Support Specialists, Computer Systems Engineers/Architects, and Network and Computer Systems Administrators occupations RoleMath maps, automation-style Claude conversations are the larger share of the reported usage and augmentation-style conversations are the minority pattern within that same occupation. That is descriptive usage data — how AI is being used around this work — not a job-loss forecast, not employer demand, and not evidence that AZ-104 is more or less valuable. As a RoleMath study heuristic, if you use AI to explain domains or draft commands and lab scenarios, verify every command and service behavior against Microsoft documentation or a sandbox before you trust it.

A readiness plan that beats pass-rate guessing

Use a readiness plan that mirrors the official domains and real work. Step 1: read the AZ-104 study guide and copy the five domain weights into a checklist. Step 2: build a small Azure lab for identity, resource groups, RBAC, storage accounts, virtual machines, virtual networks, monitoring, and backup. Step 3: as a RoleMath study heuristic, practice each core operation through more than one interface where it is reasonable — for example the portal and PowerShell or Azure CLI — so you are not memorizing a single click path. Step 4: write a troubleshooting note for each domain, including symptom, likely cause, command or portal check, fix, and rollback. Step 5: use AI to quiz you and generate scenarios, then verify every command and service behavior against Microsoft documentation. Step 6: compare your lab evidence against cloud support, cloud engineer, and network administrator role evidence before scheduling.

That sequence gives you more control than a pass-rate number. It turns AZ-104 into an evidence-backed readiness decision instead of a bet on someone else's unsourced statistic.

Bottom line

The official AZ-104 pages RoleMath reviewed publish exam scope and scaled-score rules, not a candidate pass-rate percentage — so do not choose or avoid this exam because a page handed you an unsupported number. Choose AZ-104 when the official scope matches the Azure administration evidence you are building: the five weighted domains in the official study guide — identity and governance, storage, compute, virtual networking, and monitoring and maintenance. It is not a cloud job guarantee, salary claim, or substitute for hands-on practice, and you should confirm exam details on Microsoft's official page before relying on them.

Frequently asked questions

Does Microsoft publish an AZ-104 pass rate?

No AZ-104 candidate pass-rate percentage appears in the official Microsoft pages RoleMath reviewed. Those pages publish exam scope and scaled-score rules, not the share of candidates who pass.

Is the AZ-104 passing score the same thing as a pass rate?

No. A passing score is the score a candidate must reach. A pass rate is the share of candidates who pass. Microsoft also says technical exam scores are scaled from 1 to 1000 and may not equal a simple percent-correct score.

What AZ-104 facts are source-backed here?

The current sources support AZ-104, Intermediate Azure Administrator positioning, skills measured as of April 17, 2026, a 100-minute assessment duration, domain weights, a 700-or-greater scaled score standard, a 165 USD United States exam fee (Microsoft's published exam-pricing data, captured 2026-06-19), and no prerequisite stated on the official page, which does not mention AZ-900.

Does AZ-104 guarantee a cloud job or salary?

No. BLS wage and outlook figures are occupation-level context for mapped role families, not AZ-104 salary, ROI, placement, or job-guarantee evidence.

Related, with the cited detail

Evidence behind this article

RoleMath turns this article into a small decision report: official credential facts, occupation context, and AI workflow evidence.

Mapped roles: Cloud Engineer, Junior Systems Administrator

Pay by metro

Cloud Engineer maps to Computer Occupations, All Other.
MetroMedian payCost-adjusted
San Jose, CA$184,430$167,021
Denver, CO$160,520$151,746
Lexington Park, MD$144,680$143,589
Junior Systems Administrator maps to Network and Computer Systems Administrators.
MetroMedian payCost-adjusted
San Jose, CA$133,360$120,772
Baltimore, MD$122,950$117,670
Washington, DC$125,430$115,196

Occupation-level metro medians only; not credential salary, personal pay, or a placement claim. OEWS 2025-05 + BEA RPP 2024. Sources: U.S. Bureau of Economic Analysis Regional Price Parities, U.S. Bureau of Labor Statistics May 2025 OEWS Current Tables

AI impact context

  • Cloud Engineer: roughly 37% of recorded usage looked like augmentation vs 63% automation-style (Anthropic Economic Index; usage signal, not a job-loss prediction). Sampled AI-language terms include LLM, OpenAI, PyTorch, TensorFlow. Descriptive Claude usage data, not employment demand, not job loss, and not a personal forecast; CC-BY attribution required.
  • Junior Systems Administrator: roughly 32% of recorded usage looked like augmentation vs 68% automation-style (Anthropic Economic Index; usage signal, not a job-loss prediction). Sampled AI-language terms include Anthropic, LLM, PyTorch, machine learning. Descriptive Claude usage data, not employment demand, not job loss, and not a personal forecast; CC-BY attribution required.

Sources: Anthropic Economic Index report: Cadences (release 2026-06-26), Canaries in the Coal Mine - recent employment effects of AI (working paper), Felten Raj and Seamans - AI Occupational Exposure (AIOE) index, GPTs are GPTs: An early look at the labor market impact potential of LLMs (Science 2024), OECD Employment Outlook 2023 - Artificial Intelligence and the Labour Market

What we verified about these certifications

Certifications referenced in this evidence packet: Microsoft Azure Administrator Associate.

  • Use as evidence that Microsoft publishes official AZ-104 exam scope and scaled-score rules, not a public candidate pass-rate percentage.

No certification shown here is treated as salary, job, ROI, or pass-rate proof. Sources: Microsoft official credential page

Core source records

This table lists the page’s core content records and their checked dates where recorded. Claim-specific citations appear beside the relevant text and may not be repeated here.

Show all 16 sources
IDSupportsSourceChecked
CIT-01Microsoft publishes AZ-104 skills, candidate profile, and a 700 passing-score reference, not a public candidate pass-rate percentage.https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/az-1042026-07-05
CIT-02Microsoft technical exam scores are scaled scores, so 700 does not mean a 70 percent pass rate.https://learn.microsoft.com/en-us/credentials/certifications/exam-scoring-reports2026-07-05
CIT-03The Azure Administrator Associate credential page confirms level, product, role, renewal, last-updated date, target profile, and assessment duration.https://learn.microsoft.com/en-us/credentials/certifications/azure-administrator/2026-07-20
CIT-04AZ-104 domain weights should drive study planning more than pass-rate folklore.https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/az-1042026-07-05
CIT-05AZ-104 cost should be treated as cited exam-fee context, not ROI or salary evidence.https://learn.microsoft.com/en-us/credentials/exam-pricing.json2026-06-27
CIT-06AZ-104 eligibility is open-registration with recommended expertise; the official page does not state a prerequisite and does not mention AZ-900.https://learn.microsoft.com/en-us/credentials/certifications/azure-administrator/2026-07-20
CIT-07Cloud-support context should be task based, not treated as a certification outcome.https://www.onetonline.org/link/summary/15-1232.00Date not recorded
CIT-08Cloud-engineer context should be treated as a later infrastructure signal, not as an AZ-104 job guarantee.https://www.onetonline.org/link/summary/15-1299.08Date not recorded
CIT-09Network-administrator context is relevant because AZ-104 includes virtual networking and troubleshooting, but it is still occupation context.https://www.onetonline.org/link/summary/15-1244.00Date not recorded
CIT-10RoleMath uses O*NET database downloads as the official task, skill, and technology source family for role evidence.https://www.onetcenter.org/database.html2026-06-07
CIT-11Occupation pay context for AZ-104 mapped roles must not be treated as a certification salary outcome.https://www.bls.gov/oes/special-requests/oesm25nat.zip2026-07-21
CIT-12Occupation outlook context is not live posting demand and not an AZ-104 outcome.https://www.bls.gov/emp/ind-occ-matrix/occupation.xlsx2026-06-25
CIT-13Employer-language samples can show Azure-adjacent vocabulary without becoming representative demand evidence.https://developers.greenhouse.io/job-board; https://developers.ashbyhq.com/docs/public-job-posting-api; https://hire.lever.co/developer/documentation#postings; https://www.myworkda2026-06-07
CIT-14AI usage data for mapped Azure-adjacent work is descriptive workflow context, not a job-loss or demand forecast.https://www.anthropic.com/research/economic-index-june-2026-report2026-06-30
CIT-15The Anthropic Economic Index dataset requires attribution and does not prove employment demand.https://huggingface.co/datasets/Anthropic/EconomicIndexDate not recorded
CIT-16General AI-exposure research should be framed as task-overlap context, not a personal employment forecast.https://www.science.org/doi/10.1126/science.adj09982026-06-19

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